Using the yeast vacuole as a system to test the lipidic drivers of membrane heterogeneity in living cells.


Journal

Methods in enzymology
ISSN: 1557-7988
Titre abrégé: Methods Enzymol
Pays: United States
ID NLM: 0212271

Informations de publication

Date de publication:
2024
Historique:
medline: 7 7 2024
pubmed: 7 7 2024
entrez: 6 7 2024
Statut: ppublish

Résumé

The biophysical drivers of membrane lateral heterogeneity, often termed lipid rafts, have been largely explored using synthetic liposomes or mammalian plasma membrane-derived giant vesicles. Yeast vacuoles, an organelle comparable to mammalian lysosomes, is the only in vivo system that shows stable micrometer scale phase separation in unperturbed cells. The ease of manipulating lipid metabolism in yeast makes this a powerful system for identifying lipids involved in the onset of vacuole membrane heterogeneity. Vacuole domains are induced by stationary stage growth and nutritional starvation, during which they serve as a docking and internalization site for lipid droplet energy stores. Here we describe methods for characterizing vacuole phase separation, its physiological function, and its lipidic drivers. First, we detail methodologies for robustly inducing vacuole domain formation and quantitatively characterizing during live cell imaging experiments. Second, we detail a new protocol for biochemical isolation of stationary stage vacuoles, which allows for lipidomic dissection of membrane phase separation. Third, we describe biochemical techniques for analyzing lipid droplet internalization in vacuole domains. When combined with genetic or chemical perturbations to lipid metabolism, these methods allow for systematic dissection of lipid composition in the structure and function of ordered membrane domains in living cells.

Identifiants

pubmed: 38971613
pii: S0076-6879(24)00045-4
doi: 10.1016/bs.mie.2024.02.015
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

77-104

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Hyesoo Kim (H)

Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA, United States.

Israel Juarez-Contreras (I)

Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA, United States.

Itay Budin (I)

Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA, United States. Electronic address: ibudin@ucsd.edu.

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Classifications MeSH